Georgi Gerganov
b34ab74094
falcon : copy-paste self-attention from LLaMA
2023-08-23 11:04:26 +03:00
Georgi Gerganov
af4bbcc873
ggml : ggml_repeat always creates new tensor
2023-08-23 10:42:02 +03:00
Georgi Gerganov
99bb26078f
metal : implement RoPE (mode = 2) + avoid ggml_repeat
2023-08-23 10:41:35 +03:00
Georgi Gerganov
e3c52bd990
ggml : pass eps to ggml_norm
2023-08-23 10:40:58 +03:00
klosax
d561b7f724
llama.cpp : fix the fix of bpe tokenizer
2023-08-23 00:06:53 +02:00
klosax
a95ae7526a
llama.cpp : fix bpe tokenizer
2023-08-23 00:02:13 +02:00
klosax
ffa5099c6d
llama.cpp : llama default UNK token = id 0
2023-08-22 22:34:03 +02:00
klosax
9853f2cfb2
convert-falcon-hf-to-gguf.py : fix special token mapping
2023-08-22 22:29:11 +02:00
Georgi Gerganov
7bbbf38c32
llama : minor updates
...
ggml-ci
2023-08-22 23:26:16 +03:00
Georgi Gerganov
0ec27ad66c
falcon : minor
2023-08-22 23:11:41 +03:00
Georgi Gerganov
2d58444dae
falcon : support non-40B models
2023-08-22 22:52:14 +03:00
Georgi Gerganov
3c7c325b98
falcon : CPU inference working
2023-08-22 22:31:49 +03:00
Georgi Gerganov
085228e1f5
llama : add arch member to llama_model
2023-08-22 22:09:56 +03:00
Georgi Gerganov
5c5413dc14
llama : fix loading progress bar
2023-08-22 21:53:36 +03:00
Georgi Gerganov
2f3c80a845
falcon : load tensor data (CPU only)
2023-08-22 21:42:12 +03:00
Georgi Gerganov
d1b3b95dc4
convert : add dummy scores + types
2023-08-22 20:55:05 +03:00
Georgi Gerganov
9f28f73785
llm : read arch-specific KVs
2023-08-22 20:34:17 +03:00
Georgi Gerganov
b19c6e4640
Merge branch 'master' into falcon
2023-08-22 20:15:01 +03:00
Georgi Gerganov
3c025a6d07
gguf : add KV constant maps
2023-08-22 20:06:15 +03:00
Georgi Gerganov
deb7dfca4b
gguf : add ftype meta info to the model ( #2710 )
...
* llama : add ftype meta info to the model
ggml-ci
* convert.py : add ftype when converting (does not work)
* convert.py : fix Enum to IntEnum
ggml-ci
2023-08-22 20:05:59 +03:00
Georgi Gerganov
3057d6a687
llama : refactor llama_model_load_internal()
2023-08-22 19:30:02 +03:00
Kawrakow
bac66994cf
Quantization imrovements for k_quants ( #2707 )
...
* Improve LLaMA-2 2-, 3- and 4-bit quantization
* Q3_K_S: use Q5_K for 1st 2 layers of attention.wv and feed_forward.w2
* Q4_K_S: use Q6_K for 1st 2 layers of attention.wv and feed_forward.w2
* Q2_K and Q3_K_M: use Q5_K instead of Q4_K for 1st 2 layers of
attention.wv and feed_forward.w2
This leads to a slight model sized increase as follows:
Q2_K : 2.684G vs 2.670G
Q3_K_S: 2.775G vs 2.745G
Q3_K_M: 3.071G vs 3.057G
Q4_K_S: 3.592G vs 3.563G
LLaMA-2 PPL for context 512 changes as follows:
Q2_K : 6.6691 vs 6.8201
Q3_K_S: 6.2129 vs 6.2584
Q3_K_M: 6.0387 vs 6.1371
Q4_K_S: 5.9138 vs 6.0041
There are improvements for LLaMA-1 as well, but they are
way smaller than the above.
* Minor 4-bit quantization improvement
For the same model size as previus commit, we get
PPL = 5.9069 vs 5.9138.
* Some more fine tuning
* Adding make_qkx2_quants
With it, we get PPL = 5.8828 for L2-7B Q4_K_S.
* Another minor improvement
* Q2_K improvement
Smaller model, lower perplexity.
7B: file size = 2.632G, PPL = 6.3772 vs original 2.670G PPL = 6.8201
12B: file size = 5.056G, PPL = 5.4577 vs original 5.130G PPL = 5.7178
It is mostly Q3_K except for tok_embeddings, attention.wq, attention.wk,
which are Q2_K
* Iterating
* Revert Q5_K back to make_qkx1_quants
* Better Q6_K
* make_qkx2_quants is better for Q5_K after all
* Fix after rebasing on master
* Fix for changed tensor names
---------
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2023-08-22 19:14:09 +03:00
Georgi Gerganov
8bd7f06b58
llama : check if model architecture is known
2023-08-22 19:03:08 +03:00
Georgi Gerganov
4ed3469c68
llama : refactor GGUF constants into static maps
2023-08-22 18:59:39 +03:00
slaren
519c981f8b
embedding : evaluate prompt in batches ( #2713 )
2023-08-22 16:03:12 +02:00
slaren
1123f7fbdf
ggml-cuda : use graph allocator ( #2684 )
...
use a different function for no_alloc to avoid breaking backwards compat, fixes lora
remove 512 n_batch limit
fixed 2048 batch size
cleanup
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2023-08-22 15:25:19 +02:00
Georgi Gerganov
ef3f333d37
ggml : sync latest (SAM + SD operators, CUDA alibi) ( #2709 )
...
* ggml : sync latest (SAM + SD operators, CUDA alibi)
ggml-ci
* ggml : fix tabs
2023-08-22 14:22:08 +03:00
slaren
8e4364f2af
llama-bench : minor fixes ( #2695 )
2023-08-22 10:56:03 +03:00
Kylin
1e3bc523d8
ggml : support CUDA's half type for aarch64( #1455 ) ( #2670 )
...
* ggml: support CUDA's half type for aarch64(#1455 )
support CUDA's half type for aarch64 in ggml_fp16_t definition
* ggml: use __CUDACC__ to recognise nvcc compiler
2023-08-22 10:14:23 +03:00
Shouzheng Liu
14b1d7e6f7
metal : add missing barriers for mul-mat ( #2699 )
2023-08-22 09:18:40 +03:00
Jhen-Jie Hong
226255b44e
server : fallback to default if client param is null ( #2688 )
...
* server : fallback to default if client param is null
* server : do not overwrite 404 if status is 500 from exception_handler
2023-08-22 08:32:00 +08:00
Kerfuffle
930523c8e1
Fix convert-llama-ggmlv3-to-gguf.py vocab conversion ( #2698 )
...
When converting without metadata, the hex value for bytes entries weren't 0 padded to 2 digits.
2023-08-21 18:01:34 -06:00
Georgi Gerganov
c8dba409e6
py : remove obsolete script
2023-08-21 23:40:22 +03:00
Georgi Gerganov
6381d4e110
gguf : new file format with flexible meta data (beta) ( #2398 )
...
* gguf : first API pass
* gguf : read header + meta data
* gguf : read tensor info
* gguf : initial model loading - not tested
* gguf : add gguf_get_tensor_name()
* gguf : do not support passing existing ggml_context to gguf_init
* gguf : simplify gguf_get_val
* gguf : gguf.c is now part of ggml.c
* gguf : read / write sample models
* gguf : add comments
* refactor : reduce code duplication and better API (#2415 )
* gguf : expose the gguf_type enum through the API for now
* gguf : add array support
* gguf.py : some code style changes
* convert.py : start a new simplified implementation by removing old stuff
* convert.py : remove GGML vocab + other obsolete stuff
* GGUF : write tensor (#2426 )
* WIP: Write tensor
* GGUF : Support writing tensors in Python
* refactor : rm unused import and upd todos
* fix : fix errors upd writing example
* rm example.gguf
* gitignore *.gguf
* undo formatting
* gguf : add gguf_find_key (#2438 )
* gguf.cpp : find key example
* ggml.h : add gguf_find_key
* ggml.c : add gguf_find_key
* gguf : fix writing tensors
* gguf : do not hardcode tensor names to read
* gguf : write sample tensors to read
* gguf : add tokenization constants
* quick and dirty conversion example
* gguf : fix writing gguf arrays
* gguf : write tensors one by one and code reuse
* gguf : fix writing gguf arrays
* gguf : write tensors one by one
* gguf : write tensors one by one
* gguf : write tokenizer data
* gguf : upd gguf conversion script
* Update convert-llama-h5-to-gguf.py
* gguf : handle already encoded string
* ggml.h : get array str and f32
* ggml.c : get arr str and f32
* gguf.py : support any type
* Update convert-llama-h5-to-gguf.py
* gguf : fix set is not subscriptable
* gguf : update convert-llama-h5-to-gguf.py
* constants.py : add layer norm eps
* gguf.py : add layer norm eps and merges
* ggml.h : increase GGML_MAX_NAME to 64
* ggml.c : add gguf_get_arr_n
* Update convert-llama-h5-to-gguf.py
* add gptneox gguf example
* Makefile : add gptneox gguf example
* Update convert-llama-h5-to-gguf.py
* add gptneox gguf example
* Update convert-llama-h5-to-gguf.py
* Update convert-gptneox-h5-to-gguf.py
* Update convert-gptneox-h5-to-gguf.py
* Update convert-llama-h5-to-gguf.py
* gguf : support custom alignment value
* gguf : fix typo in function call
* gguf : mmap tensor data example
* fix : update convert-llama-h5-to-gguf.py
* Update convert-llama-h5-to-gguf.py
* convert-gptneox-h5-to-gguf.py : Special tokens
* gptneox-main.cpp : special tokens
* Update gptneox-main.cpp
* constants.py : special tokens
* gguf.py : accumulate kv and tensor info data + special tokens
* convert-gptneox-h5-to-gguf.py : accumulate kv and ti + special tokens
* gguf : gguf counterpart of llama-util.h
* gguf-util.h : update note
* convert-llama-h5-to-gguf.py : accumulate kv / ti + special tokens
* convert-llama-h5-to-gguf.py : special tokens
* Delete gptneox-common.cpp
* Delete gptneox-common.h
* convert-gptneox-h5-to-gguf.py : gpt2bpe tokenizer
* gptneox-main.cpp : gpt2 bpe tokenizer
* gpt2 bpe tokenizer (handles merges and unicode)
* Makefile : remove gptneox-common
* gguf.py : bytesarray for gpt2bpe tokenizer
* cmpnct_gpt2bpe.hpp : comments
* gguf.py : use custom alignment if present
* gguf : minor stuff
* Update gptneox-main.cpp
* map tensor names
* convert-gptneox-h5-to-gguf.py : map tensor names
* convert-llama-h5-to-gguf.py : map tensor names
* gptneox-main.cpp : map tensor names
* gguf : start implementing libllama in GGUF (WIP)
* gguf : start implementing libllama in GGUF (WIP)
* rm binary commited by mistake
* upd .gitignore
* gguf : calculate n_mult
* gguf : inference with 7B model working (WIP)
* gguf : rm deprecated function
* gguf : start implementing gguf_file_saver (WIP)
* gguf : start implementing gguf_file_saver (WIP)
* gguf : start implementing gguf_file_saver (WIP)
* gguf : add gguf_get_kv_type
* gguf : add gguf_get_kv_type
* gguf : write metadata in gguf_file_saver (WIP)
* gguf : write metadata in gguf_file_saver (WIP)
* gguf : write metadata in gguf_file_saver
* gguf : rm references to old file formats
* gguf : shorter name for member variable
* gguf : rm redundant method
* gguf : get rid of n_mult, read n_ff from file
* Update gguf_tensor_map.py
* Update gptneox-main.cpp
* gguf : rm references to old file magics
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : quantization is working
* gguf : roper closing of file
* gguf.py : no need to convert tensors twice
* convert-gptneox-h5-to-gguf.py : no need to convert tensors twice
* convert-llama-h5-to-gguf.py : no need to convert tensors twice
* convert-gptneox-h5-to-gguf.py : simplify nbytes
* convert-llama-h5-to-gguf.py : simplify nbytes
* gptneox-main.cpp : n_layer --> n_block
* constants.py : n_layer --> n_block
* gguf.py : n_layer --> n_block
* convert-gptneox-h5-to-gguf.py : n_layer --> n_block
* convert-llama-h5-to-gguf.py : n_layer --> n_block
* gptneox-main.cpp : n_layer --> n_block
* Update gguf_tensor_map.py
* convert-gptneox-h5-to-gguf.py : load model in parts to save memory
* convert-llama-h5-to-gguf.py : load model in parts to save memory
* convert : write more metadata for LLaMA
* convert : rm quantization version
* convert-gptneox-h5-to-gguf.py : add file_type key
* gptneox-main.cpp : add file_type key
* fix conflicts
* gguf : add todos and comments
* convert-gptneox-h5-to-gguf.py : tensor name map changes
* Create gguf_namemap.py : tensor name map changes
* Delete gguf_tensor_map.py
* gptneox-main.cpp : tensor name map changes
* convert-llama-h5-to-gguf.py : fixes
* gguf.py : dont add empty strings
* simple : minor style changes
* gguf : use UNIX line ending
* Create convert-llama-7b-pth-to-gguf.py
* llama : sync gguf-llama.cpp with latest llama.cpp (#2608 )
* llama : sync gguf-llama.cpp with latest llama.cpp
* minor : indentation + assert
* llama : refactor gguf_buffer and gguf_ctx_buffer
* llama : minor
* gitignore : add gptneox-main
* llama : tokenizer fixes (#2549 )
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* convert : update convert-new.py with tokenizer fixes (#2614 )
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* Adapt convert-new.py (and fix a clang-cl compiler error on windows)
* llama : sync gguf-llama with llama (#2613 )
* llama : sync gguf-llama with llama
* tests : fix build + warnings (test-tokenizer-1 still fails)
* tests : fix wstring_convert
* convert : fix layer names
* llama : sync gguf-llama.cpp
* convert : update HF converter to new tokenizer voodoo magics
* llama : update tokenizer style
* convert-llama-h5-to-gguf.py : add token types
* constants.py : add token types
* gguf.py : add token types
* convert-llama-7b-pth-to-gguf.py : add token types
* gguf-llama.cpp : fix n_head_kv
* convert-llama-h5-to-gguf.py : add 70b gqa support
* gguf.py : add tensor data layout
* convert-llama-h5-to-gguf.py : add tensor data layout
* convert-llama-7b-pth-to-gguf.py : add tensor data layout
* gptneox-main.cpp : add tensor data layout
* convert-llama-h5-to-gguf.py : clarify the reverse permute
* llama : refactor model loading code (#2620 )
* llama : style formatting + remove helper methods
* llama : fix quantization using gguf tool
* llama : simplify gguf_file_saver
* llama : fix method names
* llama : simplify write_header()
* llama : no need to pass full file loader to the file saver
just gguf_ctx
* llama : gguf_file_saver write I32
* llama : refactor tensor names (#2622 )
* gguf: update tensor names searched in quantization
* gguf : define tensor names as constants
* gguf : initial write API (not tested yet)
* gguf : write to file API (not tested)
* gguf : initial write API ready + example
* gguf : fix header write
* gguf : fixes + simplify example + add ggml_nbytes_pad()
* gguf : minor
* llama : replace gguf_file_saver with new gguf write API
* gguf : streaming support when writing files
* gguf : remove oboslete write methods
* gguf : remove obosolete gguf_get_arr_xxx API
* llama : simplify gguf_file_loader
* llama : move hparams and vocab from gguf_file_loader to llama_model_loader
* llama : merge gguf-util.h in llama.cpp
* llama : reorder definitions in .cpp to match .h
* llama : minor simplifications
* llama : refactor llama_model_loader (WIP)
wip : remove ggml_ctx from llama_model_loader
wip : merge gguf_file_loader in llama_model_loader
* llama : fix shape prints
* llama : fix Windows build + fix norm_rms_eps key
* llama : throw error on missing KV paris in model meta data
* llama : improve printing + log meta data
* llama : switch print order of meta data
---------
Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
* gguf : deduplicate (#2629 )
* gguf : better type names
* dedup : CPU + Metal is working
* ggml : fix warnings about unused results
* llama.cpp : fix line feed and compiler warning
* llama : fix strncpy warning + note token_to_str does not write null
* llama : restore the original load/save session implementation
Will migrate this to GGUF in the future
* convert-llama-h5-to-gguf.py : support alt ctx param name
* ggml : assert when using ggml_mul with non-F32 src1
* examples : dedup simple
---------
Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>
* gguf.py : merge all files in gguf.py
* convert-new.py : pick #2427 for HF 70B support
* examples/gguf : no need to keep q option for quantization any more
* llama.cpp : print actual model size
* llama.cpp : use ggml_elements()
* convert-new.py : output gguf (#2635 )
* convert-new.py : output gguf (WIP)
* convert-new.py : add gguf key-value pairs
* llama : add hparams.ctx_train + no longer print ftype
* convert-new.py : minor fixes
* convert-new.py : vocab-only option should work now
* llama : fix tokenizer to use llama_char_to_byte
* tests : add new ggml-vocab-llama.gguf
* convert-new.py : tensor name mapping
* convert-new.py : add map for skipping tensor serialization
* convert-new.py : convert script now works
* gguf.py : pick some of the refactoring from #2644
* convert-new.py : minor fixes
* convert.py : update to support GGUF output
* Revert "ci : disable CI temporary to not waste energy"
This reverts commit 7e82d25f40#2644 )
* gguf : single pass for writing tensors + refactoring writer
* gguf : single pass for writing tensors + refactoring writer
* gguf : single pass for writing tensors + refactoring writer
* gguf : style fixes in simple conversion script
* gguf : refactor gptneox conversion script
* gguf : rename h5 to hf (for HuggingFace)
* gguf : refactor pth to gguf conversion script
* gguf : rm file_type key and method
* gguf.py : fix vertical alignment
* gguf.py : indentation
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* convert-gptneox-hf-to-gguf.py : fixes
* gguf.py : gptneox mapping
* convert-llama-hf-to-gguf.py : fixes
* convert-llama-7b-pth-to-gguf.py : fixes
* ggml.h : reverse GGUF_MAGIC
* gguf.py : reverse GGUF_MAGIC
* test-tokenizer-0.cpp : fix warning
* llama.cpp : print kv general.name
* llama.cpp : get special token kv and linefeed token id
* llama : print number of tensors per type + print arch + style
* tests : update vocab file with new magic
* editorconfig : fix whitespaces
* llama : re-order functions
* llama : remove C++ API + reorganize common source in /common dir
* llama : minor API updates
* llama : avoid hardcoded special tokens
* llama : fix MPI build
ggml-ci
* llama : introduce enum llama_vocab_type + remove hardcoded string constants
* convert-falcon-hf-to-gguf.py : falcon HF --> gguf conversion, not tested
* falcon-main.cpp : falcon inference example
* convert-falcon-hf-to-gguf.py : remove extra kv
* convert-gptneox-hf-to-gguf.py : remove extra kv
* convert-llama-7b-pth-to-gguf.py : remove extra kv
* convert-llama-hf-to-gguf.py : remove extra kv
* gguf.py : fix for falcon 40b
* falcon-main.cpp : fix for falcon 40b
* convert-falcon-hf-to-gguf.py : update ref
* convert-falcon-hf-to-gguf.py : add tensor data layout
* cmpnct_gpt2bpe.hpp : fixes
* falcon-main.cpp : fixes
* gptneox-main.cpp : fixes
* cmpnct_gpt2bpe.hpp : remove non-general stuff
* Update examples/server/README.md
Co-authored-by: slaren <slarengh@gmail.com>
* cmpnct_gpt2bpe.hpp : cleanup
* convert-llama-hf-to-gguf.py : special tokens
* convert-llama-7b-pth-to-gguf.py : special tokens
* convert-permute-debug.py : permute debug print
* convert-permute-debug-master.py : permute debug for master
* convert-permute-debug.py : change permute type of attn_q
* convert.py : 70b model working (change attn_q permute)
* Delete convert-permute-debug-master.py
* Delete convert-permute-debug.py
* convert-llama-hf-to-gguf.py : fix attn_q permute
* gguf.py : fix rope scale kv
* convert-llama-hf-to-gguf.py : rope scale and added tokens
* convert-llama-7b-pth-to-gguf.py : rope scale and added tokens
* llama.cpp : use rope scale kv
* convert-llama-7b-pth-to-gguf.py : rope scale fix
* convert-llama-hf-to-gguf.py : rope scale fix
* py : fix whitespace
* gguf : add Python script to convert GGMLv3 LLaMA models to GGUF (#2682 )
* First pass at converting GGMLv3 LLaMA models to GGUF
* Cleanups, better output during conversion
* Fix vocab space conversion logic
* More vocab conversion fixes
* Add description to converted GGUF files
* Improve help text, expand warning
* Allow specifying name and description for output GGUF
* Allow overriding vocab and hyperparams from original model metadata
* Use correct params override var name
* Fix wrong type size for Q8_K
Better handling of original style metadata
* Set default value for gguf add_tensor raw_shape KW arg
* llama : improve token type support (#2668 )
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* Adapt convert-new.py (and fix a clang-cl compiler error on windows)
* Improved tokenizer test
But does it work on MacOS?
* Improve token type support
- Added @klosax code to convert.py
- Improved token type support in vocabulary
* Exclude platform dependent tests
* More sentencepiece compatibility by eliminating magic numbers
* Restored accidentally removed comment
* llama : add API for token type
ggml-ci
* tests : use new tokenizer type API (#2692 )
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* Adapt convert-new.py (and fix a clang-cl compiler error on windows)
* Improved tokenizer test
But does it work on MacOS?
* Improve token type support
- Added @klosax code to convert.py
- Improved token type support in vocabulary
* Exclude platform dependent tests
* More sentencepiece compatibility by eliminating magic numbers
* Restored accidentally removed comment
* Improve commentary
* Use token type API in test-tokenizer-1.cpp
* py : cosmetics
* readme : add notice about new file format
ggml-ci
---------
Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>
Co-authored-by: goerch <jhr.walter@t-online.de>
Co-authored-by: slaren <slarengh@gmail.com>
Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
2023-08-21 23:07:43 +03:00
Shouzheng Liu
dadbed99e6
metal : fix synchronization in new matrix multiplication kernel ( #2686 )
2023-08-21 13:59:29 +03:00
Kawrakow
cb1c0727bd
HellaSwag: split token evaluation into batches if needed ( #2681 )
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Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2023-08-21 11:11:31 +03:00
slaren
9e232f0234
ggml : move all type info to ggml_type_traits ( #2663 )
2023-08-20 22:17:53 +02:00
Kawrakow
5e9ff54a67
More efficient Hellaswag implementation ( #2677 )
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Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2023-08-20 16:44:46 +03:00
Georgi Gerganov
1f0bccb279
server : better default prompt ( #2646 )
2023-08-19 05:45:36 +08:00
Jhen-Jie Hong
f63564adfa
server : update xxd usage for older versions compatibility ( #2649 )
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* server : update xxd usage for older versions compatibility
* remove unused $func
2023-08-19 05:41:32 +08:00
Adrian
2d8b76a110
Add link to clojure bindings to Readme. ( #2659 )
2023-08-18 21:39:22 +02:00
Georgi Gerganov
7af633aec3
readme : incoming BREAKING CHANGE
2023-08-18 17:48:31 +03:00
slaren
097e121e2f
llama : add benchmark example ( #2626 )
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* llama : add benchmark example
* add to examples CMakeLists.txt
* fix msvc build
* add missing include
* add Bessel's correction to stdev calculation
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
* improve markdown formatting
* add missing include
* print warning is NDEBUG is not defined
* remove n_prompt and n_gen from the matrix, use each value separately instead
* better checks for non-optimized builds
* llama.cpp : fix MEM_REQ_SCRATCH0 reusing the value of n_ctx of the first call
* fix json formatting
* add sql output
* add basic cpu and gpu info (linx/cuda only)
* markdown: also show values that differ from the default
* markdown: add build id
* cleanup
* improve formatting
* formatting
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Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2023-08-18 12:44:58 +02:00
mdrokz
eaf98c2649
readme : add link to Rust bindings ( #2656 )
2023-08-18 13:17:58 +03:00
Georgi Gerganov
e9b12c332e
perplexity : more meaningful ETA number - 2 decimal points
2023-08-18 12:48:55 +03:00
Evan Jones
604b8bdfa6
Fix unicode in grammars ( fixes #2501 ) ( #2553 )
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* Fix unicode in grammars (fixes #2501 )
* add more comments
* fix test-llama-grammar
2023-08-17 19:54:44 -04:00
staviq
10151bee2e
server : support for saving templates in browser LocalStorage ( #2486 )
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* support for templates in browser LocalStorage
* sync accepted #2409 fix from upstream
* convert autosave invocation to useEffect
* Apply suggestions from code review
Co-authored-by: Jhen-Jie Hong <iainst0409@gmail.com>
* Regen index.html.cpp, suggested from code review
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Co-authored-by: Jhen-Jie Hong <iainst0409@gmail.com>
2023-08-18 07:34:01 +08:00
Johannes Gäßler
0992a7b8b1
README: fix LLAMA_CUDA_MMV_Y documentation ( #2647 )
2023-08-17 23:57:59 +02:00
Henri Vasserman
6ddeefad9b
[Zig] Fixing Zig build and improvements ( #2554 )
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* Fix zig after console.o was split
* Better include and flag management
* Change LTO to option
2023-08-17 23:11:18 +03:00
Kerfuffle
8dae7ce684
Add --cfg-negative-prompt-file option for examples ( #2591 )
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Add --cfg-negative-prompt-file option for examples
2023-08-17 07:29:44 -06:00
